ICECAP-2 consortium bed elevation model for Princess Elizabeth Land, East Antarctica

We present a new topographic digital elevation model (DEM) for Princess Elizabeth Land (PEL) – the last remaining region in Antarctica to be surveyed. The DEM covers an area of 899,730 km2 and was established from new aero geophysical data collected by the ICECAP-2 consortium, led by the Polar Resea...

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Main Authors: Xiangbin, Cui, Jeofry, Hafeez, Greenbaum, Jamin, Ross, Neil, Morlighem, Mathieu, Roberts, Jason, Blankenship, Donald, Bo, Sun, Siegert, Martin
Format: Dataset
Language:unknown
Published: 2020
Subjects:
Online Access:https://zenodo.org/record/3666088
https://doi.org/10.5281/zenodo.3666088
id ftzenodo:oai:zenodo.org:3666088
record_format openpolar
spelling ftzenodo:oai:zenodo.org:3666088 2023-05-15T13:50:20+02:00 ICECAP-2 consortium bed elevation model for Princess Elizabeth Land, East Antarctica Xiangbin, Cui Jeofry, Hafeez Greenbaum, Jamin Ross, Neil Morlighem, Mathieu Roberts, Jason Blankenship, Donald Bo, Sun Siegert, Martin 2020-02-13 https://zenodo.org/record/3666088 https://doi.org/10.5281/zenodo.3666088 unknown doi:10.5281/zenodo.3666087 https://zenodo.org/record/3666088 https://doi.org/10.5281/zenodo.3666088 oai:zenodo.org:3666088 info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode Princess Elizabeth Land Bed elevation model Ice thickness model info:eu-repo/semantics/other dataset 2020 ftzenodo https://doi.org/10.5281/zenodo.366608810.5281/zenodo.3666087 2023-03-11T04:11:34Z We present a new topographic digital elevation model (DEM) for Princess Elizabeth Land (PEL) – the last remaining region in Antarctica to be surveyed. The DEM covers an area of 899,730 km2 and was established from new aero geophysical data collected by the ICECAP-2 consortium, led by the Polar Research Institute of China, from four different surveys since 2015. Two products are available; (1) 500 m bed elevation model; and (2) 500 m ice thickness model. The mass conservation (MC) method is used to infer ice thickness DEM across faster-flowing (>30 m yr-1) regions of the ice sheet, and streamline diffusion at slower-flowing areas. The ice thickness DEM is then integrated with the ice surface DEM from a combination of European Remote Sensing Satellite 1 radar (ERS-1) and Ice, Cloud and Land Elevation Satellite (ICESat) laser altimetry datasets (Bamber et al., 2009) to generate the bed elevation model. Together with BedMachine Antarctica, and Bedmap2, this new bed DEM for PEL completes the first-order measurement of subglacial Antarctica – an international mission that began 70 years ago. Dataset Antarc* Antarctica East Antarctica Ice Sheet Polar Research Institute of China Princess Elizabeth Land Zenodo East Antarctica Princess Elizabeth Land ENVELOPE(80.367,80.367,-68.500,-68.500)
institution Open Polar
collection Zenodo
op_collection_id ftzenodo
language unknown
topic Princess Elizabeth Land
Bed elevation model
Ice thickness model
spellingShingle Princess Elizabeth Land
Bed elevation model
Ice thickness model
Xiangbin, Cui
Jeofry, Hafeez
Greenbaum, Jamin
Ross, Neil
Morlighem, Mathieu
Roberts, Jason
Blankenship, Donald
Bo, Sun
Siegert, Martin
ICECAP-2 consortium bed elevation model for Princess Elizabeth Land, East Antarctica
topic_facet Princess Elizabeth Land
Bed elevation model
Ice thickness model
description We present a new topographic digital elevation model (DEM) for Princess Elizabeth Land (PEL) – the last remaining region in Antarctica to be surveyed. The DEM covers an area of 899,730 km2 and was established from new aero geophysical data collected by the ICECAP-2 consortium, led by the Polar Research Institute of China, from four different surveys since 2015. Two products are available; (1) 500 m bed elevation model; and (2) 500 m ice thickness model. The mass conservation (MC) method is used to infer ice thickness DEM across faster-flowing (>30 m yr-1) regions of the ice sheet, and streamline diffusion at slower-flowing areas. The ice thickness DEM is then integrated with the ice surface DEM from a combination of European Remote Sensing Satellite 1 radar (ERS-1) and Ice, Cloud and Land Elevation Satellite (ICESat) laser altimetry datasets (Bamber et al., 2009) to generate the bed elevation model. Together with BedMachine Antarctica, and Bedmap2, this new bed DEM for PEL completes the first-order measurement of subglacial Antarctica – an international mission that began 70 years ago.
format Dataset
author Xiangbin, Cui
Jeofry, Hafeez
Greenbaum, Jamin
Ross, Neil
Morlighem, Mathieu
Roberts, Jason
Blankenship, Donald
Bo, Sun
Siegert, Martin
author_facet Xiangbin, Cui
Jeofry, Hafeez
Greenbaum, Jamin
Ross, Neil
Morlighem, Mathieu
Roberts, Jason
Blankenship, Donald
Bo, Sun
Siegert, Martin
author_sort Xiangbin, Cui
title ICECAP-2 consortium bed elevation model for Princess Elizabeth Land, East Antarctica
title_short ICECAP-2 consortium bed elevation model for Princess Elizabeth Land, East Antarctica
title_full ICECAP-2 consortium bed elevation model for Princess Elizabeth Land, East Antarctica
title_fullStr ICECAP-2 consortium bed elevation model for Princess Elizabeth Land, East Antarctica
title_full_unstemmed ICECAP-2 consortium bed elevation model for Princess Elizabeth Land, East Antarctica
title_sort icecap-2 consortium bed elevation model for princess elizabeth land, east antarctica
publishDate 2020
url https://zenodo.org/record/3666088
https://doi.org/10.5281/zenodo.3666088
long_lat ENVELOPE(80.367,80.367,-68.500,-68.500)
geographic East Antarctica
Princess Elizabeth Land
geographic_facet East Antarctica
Princess Elizabeth Land
genre Antarc*
Antarctica
East Antarctica
Ice Sheet
Polar Research Institute of China
Princess Elizabeth Land
genre_facet Antarc*
Antarctica
East Antarctica
Ice Sheet
Polar Research Institute of China
Princess Elizabeth Land
op_relation doi:10.5281/zenodo.3666087
https://zenodo.org/record/3666088
https://doi.org/10.5281/zenodo.3666088
oai:zenodo.org:3666088
op_rights info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/4.0/legalcode
op_doi https://doi.org/10.5281/zenodo.366608810.5281/zenodo.3666087
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